Implementation of a Fuzzy Logic System to Tune a PI Controller Applied to an Induction Motor

Implementation of a Fuzzy Logic System to Tune a PI Controller Applied to an Induction Motor

The simplicity of traditional regulators makes them popular and the most used solution in the nowadays industry. However, they suffer from some limitations and cannot deal with nonlinear dynamics and system parameters variation. In the literature, several strategies of adaptation are developed to al...

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Bibliographic Details
Main Authors: LAROUSSI, K., ZELMAT, M., ROUFF, M.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2009-10-01
Series:Advances in Electrical and Computer Engineering
Subjects:
induction motor
fuzzy control
hybrid control
field orientation
supervisor
Online Access:http://dx.doi.org/10.4316/AECE.2009.03019
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spelling doaj-84ef76409d58462d8d4adeb7b58b6bef2020-11-25T01:22:11ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002009-10-0193107113Implementation of a Fuzzy Logic System to Tune a PI Controller Applied to an Induction MotorLAROUSSI, K.ZELMAT, M.ROUFF, M.The simplicity of traditional regulators makes them popular and the most used solution in the nowadays industry. However, they suffer from some limitations and cannot deal with nonlinear dynamics and system parameters variation. In the literature, several strategies of adaptation are developed to alleviate these limitations. In this paper, we propose a combination of two strategies for PI parameters supervision and adaptation. We apply the obtained structure to the control of induction machine speed. Simulation and experimental results of the proposed schema show good performances as compared to two strategies.http://dx.doi.org/10.4316/AECE.2009.03019induction motorfuzzy controlhybrid controlfield orientationsupervisor
collection DOAJ
language English
format Article
sources DOAJ
author LAROUSSI, K.
ZELMAT, M.
ROUFF, M.
spellingShingle LAROUSSI, K.
ZELMAT, M.
ROUFF, M.
Implementation of a Fuzzy Logic System to Tune a PI Controller Applied to an Induction Motor
Advances in Electrical and Computer Engineering
induction motor
fuzzy control
hybrid control
field orientation
supervisor
author_facet LAROUSSI, K.
ZELMAT, M.
ROUFF, M.
author_sort LAROUSSI, K.
title Implementation of a Fuzzy Logic System to Tune a PI Controller Applied to an Induction Motor
title_short Implementation of a Fuzzy Logic System to Tune a PI Controller Applied to an Induction Motor
title_full Implementation of a Fuzzy Logic System to Tune a PI Controller Applied to an Induction Motor
title_fullStr Implementation of a Fuzzy Logic System to Tune a PI Controller Applied to an Induction Motor
title_full_unstemmed Implementation of a Fuzzy Logic System to Tune a PI Controller Applied to an Induction Motor
title_sort implementation of a fuzzy logic system to tune a pi controller applied to an induction motor
publisher Stefan cel Mare University of Suceava
series Advances in Electrical and Computer Engineering
issn 1582-7445
1844-7600
publishDate 2009-10-01
description The simplicity of traditional regulators makes them popular and the most used solution in the nowadays industry. However, they suffer from some limitations and cannot deal with nonlinear dynamics and system parameters variation. In the literature, several strategies of adaptation are developed to alleviate these limitations. In this paper, we propose a combination of two strategies for PI parameters supervision and adaptation. We apply the obtained structure to the control of induction machine speed. Simulation and experimental results of the proposed schema show good performances as compared to two strategies.
topic induction motor
fuzzy control
hybrid control
field orientation
supervisor
url http://dx.doi.org/10.4316/AECE.2009.03019
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AT zelmatm implementationofafuzzylogicsystemtotuneapicontrollerappliedtoaninductionmotor
AT rouffm implementationofafuzzylogicsystemtotuneapicontrollerappliedtoaninductionmotor
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